Results 81 to 90 of about 2,971 (265)
Advanced Intelligent Discovery, EarlyView.An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
GARCHNet: Value-at-Risk Forecasting with GARCH Models Based on Neural Networks. [PDF]
Comput Econ, 2023 Buczynski M, Chlebus M.
europepmc +1 more source
Fibroblast Transcriptomics in Molecular Diagnostics of a Comprehensive Dystonia Cohort
Annals of Neurology, EarlyView.Objective Genomic sequencing leaves >50% of dystonia‐affected individuals without a diagnosis. Where DNA‐oriented approaches remain insufficient, integrating multiomics is essential to advance genome interpretation. Herein, we incorporated RNA sequencing (RNA‐seq) data from 167 patients with dystonia across a range of ages and presentations. Methods We
Alice Saparov +42 more
wiley +1 more source
Forecasting volatility with component conditional autoregressive range model [PDF]
فصلنامه بورس اوراق بهادارThe purpose of this research is to achieve a suitable model for forecasting volatility of a broad market index. In this paper the CCARR model is proposed for forecasting volatility and its estimation results are compared with the popular GARCH, CGARCH ...
MohammadMahdi Bahrololoum +2 more
doaj +1 more source
Mucin Glycoprotein Nanoparticles Enable a Selective Antisense Therapy for Oncogenic MicroRNAs
Advanced NanoBiomed Research, EarlyView.Mucin glycoproteins are turned into nanoparticles by employing synthetic DNA strands, which have a dual function: they stabilize the nanoparticles and act as binding sites for intracellular miRNA‐21. Thus, upon internalization into tumor cells, these mucin nanoparticles can deplete miRNA‐21 from the cytosol, which induces apoptosis in vitro and in vivo.
Ceren Kimna +9 more
wiley +1 more source
Modelling time-varying volatility using GARCH models: evidence from the Indian stock market. [PDF]
F1000Res, 2022 Ali F, Suri P, Kaur T, Bisht D.
europepmc +1 more source
Estimation of the parameters of symmetric stable ARMA and ARMA-GARCH models. [PDF]
J Appl Stat, 2022 Sathe AM, Upadhye NS.
europepmc +1 more source
Angewandte Chemie, EarlyView.Der bimetallische M14‐Cluster [Co3Ga2]H(μ2‐GaTMP)9 wurde durch einen ko‐reduktiven Ansatz erzielt. Dieser Ansatz nutzt Mg und H2, um den Ga‐TMP‐Liganden selektiv zu entschützen und das TMP abzufangen, was zur Bildung eines gemischtmetallischen Co/Ga Clusterkerns führt, was diesen zu einem strukturellen Vertreter eines vergleichbaren Gegenstücks der ...
Fabrizio E. Napoli +6 more
wiley +1 more source
Robust and efficient estimation of GARCH models based on Hellinger distance. [PDF]
J Appl Stat, 2022 Zhao Q, Chen L, Wu J.
europepmc +1 more source
On buffered threshold Garch models
Statistica Sinica, 2016 published_or_final_version
LO, PH, Li, G, Yu, PLH, Li, WK
openaire +3 more sources